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Design agents that plan, retrieve context, and act through tools with enterprise controls. Architecture, orchestration, and guardrails make outcomes traceable and scalable.
Our approach: Scope agents by outcome, then design tool use, retrieval, and orchestration with step budgets, state, and audit‑ready traces. High‑impact actions route for approval; low‑risk paths are automated to deliver measurable results that fit your systems.
Design reliable agents with clear roles, memory, and tools that deliver measurable outcomes and integrate cleanly with systems.
Ground outputs in trusted context via RAG: govern sources, chunking, and freshness to reduce hallucinations and risk.
Safely connect AI to APIs, data, and systems with audited tool calls, sandboxing, and least‑privilege scopes.
Agent that checks services against policies, pulls evidence, and drafts remediation tasks and compliance reports.
An Agentic AI Natural‑language assistant to query identities, entitlements, and policies; fine-tuned based on purpose and different personas.
Continuously detects drift across policies, documentation, configurations, and runtime behavior; auto-remediates or routes to human approval, with full auditability.